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| Criterion |  Decision Making Decision Tree |  Growth Funnel Analysis |  Product Discovery Learning Card |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 1-3 h | 25-40 min | 30-60 min |
Participantsdifferent | 1-6 | 1-5 | 1-5 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Funnel report, Drop-off analysis, Optimization hypotheses | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DecisionTreeOptions | AnalyticsConversionGrowth | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |